MCP Test MCP

Instructions

Implementation Reference

• node-wrapper/python-src/src/mcp_test_mcp/tools/resources.py:19-140 (handler)

  The @mcp.tool decorated handler function that implements the list_resources tool. It lists resources from a connected MCP server, handles connection errors, formats the response with metadata, and provides detailed logging and user feedback.
  @mcp.tool async def list_resources(ctx: Context) -> dict[str, Any]: """List all resources available on the connected MCP server. Retrieves comprehensive information about all resources exposed by the target server, including URIs, names, descriptions, and MIME types to enable accurate resource access. Returns: Dictionary with resource listing including: - success: True on successful retrieval - resources: List of resource objects with uri, name, description, mimeType - metadata: Total count, server info, timing information Raises: Returns error dict if not connected or retrieval fails """ start_time = time.perf_counter() try: # Verify connection exists client, state = ConnectionManager.require_connection() # User-facing progress update await ctx.info("Listing resources from connected MCP server") # Detailed technical log logger.info("Listing resources from connected MCP server") # Get resources from the server resources_result = await client.list_resources() elapsed_ms = (time.perf_counter() - start_time) * 1000 # Convert resources to dictionary format with full metadata # Note: client.list_resources() returns a list directly, not an object with .resources resources_list = [] for resource in resources_result: resource_dict = { "uri": resource.uri, "name": resource.name if resource.name else "", "description": resource.description if resource.description else "", "mimeType": resource.mimeType if hasattr(resource, "mimeType") and resource.mimeType else None, } resources_list.append(resource_dict) metadata = { "total_resources": len(resources_list), "server_url": state.server_url, "retrieved_at": time.time(), "request_time_ms": round(elapsed_ms, 2), } # Add server info if available if state.server_info: metadata["server_name"] = state.server_info.get("name", "unknown") metadata["server_version"] = state.server_info.get("version") # User-facing success update await ctx.info(f"Retrieved {len(resources_list)} resources from server") # Detailed technical log logger.info( f"Retrieved {len(resources_list)} resources from server", extra={ "resource_count": len(resources_list), "server_url": state.server_url, "duration_ms": elapsed_ms, }, ) return { "success": True, "resources": resources_list, "metadata": metadata, } except ConnectionError as e: elapsed_ms = (time.perf_counter() - start_time) * 1000 # User-facing error update await ctx.error(f"Not connected: {str(e)}") # Detailed technical log logger.error(f"Not connected: {str(e)}", extra={"duration_ms": elapsed_ms}) return { "success": False, "error": { "error_type": "not_connected", "message": str(e), "details": {}, "suggestion": "Use connect_to_server() to establish a connection first", }, "resources": [], "metadata": { "request_time_ms": round(elapsed_ms, 2), }, } except Exception as e: elapsed_ms = (time.perf_counter() - start_time) * 1000 # User-facing error update await ctx.error(f"Failed to list resources: {str(e)}") # Detailed technical log logger.exception("Failed to list resources", extra={"duration_ms": elapsed_ms}) # Increment error counter ConnectionManager.increment_stat("errors") return { "success": False, "error": { "error_type": "execution_error", "message": f"Failed to list resources: {str(e)}", "details": {"exception_type": type(e).__name__}, "suggestion": "Check that the server supports the resources capability and is responding correctly", }, "resources": [], "metadata": { "request_time_ms": round(elapsed_ms, 2), }, }
• node-wrapper/python-src/src/mcp_test_mcp/server.py:98-98 (registration)

  Import statement that triggers registration of tools from the resources module (containing list_resources) via @mcp.tool decorators by importing the module.
  from .tools import connection, tools, resources, prompts, llm